{"id":"https://openalex.org/W7138005387","doi":"https://doi.org/10.1609/aaai.v40i10.37752","title":"Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization","display_name":"Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138005387","doi":"https://doi.org/10.1609/aaai.v40i10.37752"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i10.37752","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37752","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37752/41714","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37752/41714","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129667118","display_name":"Yu Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Miao","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129657388","display_name":"Juanjuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]},{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanjuan Zhao","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China\nSchool of Software, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China\nSchool of Software, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995","https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013019215","display_name":"Sijie Song","orcid":"https://orcid.org/0000-0002-2085-6370"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Song","raw_affiliation_strings":["College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129748988","display_name":"Ran Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Gong","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Nanjing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125692976","display_name":"Yuanqian Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqian Zhu","raw_affiliation_strings":["School of Software, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125692534","display_name":"Lusha Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lusha Qi","raw_affiliation_strings":["School of Software, Taiyuan University of Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129745999","display_name":"Yan Qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Qiang","raw_affiliation_strings":["School of Software, North University of China, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"10","first_page":"8061","last_page":"8070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.25690001249313354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.25690001249313354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.17000000178813934,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14749999344348907,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6808000206947327},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6796000003814697},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5112000107765198},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.483599990606308},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4578999876976013},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42100000381469727},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.3896999955177307},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.358599990606308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006999850273132},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6808000206947327},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6796000003814697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6675000190734863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5115000009536743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4578999876976013},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4284000098705292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2989000082015991},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i10.37752","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37752","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37752/41714","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/37752","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i10.37752","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i10.37752","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37752/41714","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2542400961","display_name":null,"funder_award_id":"U21A20469","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4307676560","display_name":null,"funder_award_id":"62376183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8239764594","display_name":null,"funder_award_id":"62476190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138005387.pdf","grobid_xml":"https://content.openalex.org/works/W7138005387.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"augmentation":[1,30,49,142,152,160,177],"is":[2],"an":[3],"effective":[4],"technique":[5],"for":[6],"regularizing":[7],"deep":[8,116],"networks,":[9],"which":[10,149],"helps":[11],"to":[12,140,154,158],"enhance":[13],"the":[14,19,23,41,54,59,65,79,132,147,151,156],"generalizability":[15],"and":[16,36,56],"robustness":[17],"of":[18,25,44,58,68,121],"model.":[20],"However,":[21],"in":[22,71,83],"field":[24],"medical":[26,69,84,172],"imaging,":[27],"traditional":[28],"data":[29],"techniques":[31],"such":[32,51],"as":[33,52],"cropping,":[34],"rotation,":[35],"degradation":[37],"may":[38,62],"inadvertently":[39],"alter":[40],"critical":[42],"characteristics":[43],"pathological":[45],"lesions.":[46],"Conventional":[47],"semantic":[48,73,122,127],"methods,":[50],"altering":[53],"color":[55],"contrast":[57],"object":[60],"background,":[61],"also":[63],"affect":[64],"structural":[66],"features":[67,128],"images":[70],"uncontrolled":[72],"directions.":[74],"Such":[75],"operational":[76],"conditions":[77],"compromise":[78],"model's":[80],"diagnostic":[81],"reliability":[82],"contexts.":[85],"To":[86],"address":[87],"this":[88],"issue,":[89],"we":[90,145],"propose":[91],"a":[92],"surprisingly":[93],"efficient":[94],"implicit":[95],"augmentation-invariant":[96],"learning":[97],"strategy":[98],"(AILS)":[99],"via":[100],"variational":[101,134],"Bayesian":[102],"inference":[103],"on":[104,170],"differentially":[105],"constrained":[106],"feature":[107],"manifolds.":[108],"Parameterizing":[109],"probability":[110],"measures":[111],"over":[112],"tangent":[113],"space":[114],"through":[115],"networks":[117],"enables":[118],"precise":[119],"estimation":[120],"direction":[123],"distributions.":[124],"Subsequently,":[125],"geodesic-aware":[126],"are":[129],"sampled":[130],"from":[131],"reparameterized":[133],"posterior,":[135],"achieving":[136],"semantic-consistent":[137],"augmentation.":[138],"Simultaneously,":[139],"mine":[141],"distribution":[143,153],"invariance,":[144],"design":[146],"AiHLoss,":[148],"constrains":[150],"facilitate":[155],"network":[157],"learn":[159],"invariance.":[161],"Extensive":[162],"experiments":[163],"demonstrate":[164],"that":[165],"AILS":[166],"exhibits":[167],"high":[168],"performance":[169],"public":[171],"image":[173],"datasets,":[174],"outperforming":[175],"existing":[176],"methods.":[178]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-03-18T00:00:00"}
